Yo! The amazon home and kitchen dataset is a goldmine if you’re into e-commerce analytics. I used it to analyze pricing trends and found that products with higher ratings tend to have smaller price fluctuations.
For cleaning, I’d say focus on the reviews first—they’re often the messiest part. I used pandas in Python to drop null values and normalize text. Also, check out Kaggle for some notebooks on this dataset. People have shared some really helpful preprocessing scripts there.
For cleaning, I’d say focus on the reviews first—they’re often the messiest part. I used pandas in Python to drop null values and normalize text. Also, check out Kaggle for some notebooks on this dataset. People have shared some really helpful preprocessing scripts there.
